blind and visually
How Can Generative AI Enhance the Well-being of Blind?
This paper examines the question of how generative AI can improve the well-being of blind or visually impaired people. It refers to a current example, the Be My Eyes app, in which the Be My AI feature was integrated in 2023, which is based on GPT-4 from OpenAI. The author's tests are described and evaluated. There is also an ethical and social discussion. The power of the tool, which can analyze still images in an amazing way, is demonstrated. Those affected gain a new independence and a new perception of their environment. At the same time, they are dependent on the world view and morality of the provider or developer, who prescribe or deny them certain descriptions. An outlook makes it clear that the analysis of moving images will mean a further leap forward. It is fair to say that generative AI can fundamentally improve the well-being of blind and visually impaired people and will change it in various ways.
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biped unveils an AI copilot for blind and visually impaired people at CES 2022
'this mirrors the way autonomous vehicles work,' explains CEO and co-founder, mael fabien. 'biped will, for example, warn a user about a bike 12 meters ahead on the user's trajectory, but ignore an object that is closer but with no collision risk.' 'I was both inspired by my research and by working next to the main ophthalmic hospital in lausanne,' continues fabien. 'every day I would encounter blind and visually impaired people and wondered if we could go beyond sticks and guide-dogs to help them.' 'our aim is to launch first in switzerland in Q2 and then the US in early 2023.
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Technologies for the Visually Impaired
Navigation is a huge part of the value smartphones provide for the blind and visually impaired. Thanks to recent advances in technology, the blind and visually impaired are now able to lead more independent lives than ever. The WeWALK Smart Cane is a great example of what is now possible. The WeWALK looks similar to the cane that some blind and visually impaired people have used for decades to avoid obstacles while walking, but it incorporates a few modern twists. With a standard cane, you can still run into obstacles that are not immediately underfoot, like poles, tree branches, and barriers.
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- Information Technology > Artificial Intelligence > Vision (0.50)
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Microsoft's New AI System Describes Images Better Than Humans
Microsoft has created an AI system that's so good at describing images, it can do so even better than humans. The recent model is also apparently twice as better as the company's image captioning model it's been using since 2015. What's more, Microsoft hasn't only created this useful AI system, it's also going to share it publicly as part of Azure's Cognitive Services, which means that any developer can use it in their apps. Microsoft's app for blind and visually impaired people, Seeing AI, has already launched the new AI system. Seeing AI assists the blind and visually impaired by narrating the world around them.
OrCam - Advanced Wearable AI Devices for the Blind Closing The Gap
The most advanced wearable assistive technology device for the blind and visually impaired, that reads text, recognizes faces, identifies products and more. Intuitively responds to simple hand gestures. Real time identification of faces is seamlessly announced. Small, lightweight, and magnetically mounts onto virtually any eyeglass frame. Tiny, wireless, and does not require an internet connection.
FPGA-Based AI System Recognizes Faces at 1,000 Images per Second EE Times
There is tremendous potential for facial recognition technology, such as informing visually impaired persons if someone they know is approaching them. I find it difficult to believe just how fast things are moving with regard to using artificial neural networks (ANNs) and deep learning techniques (for example, see Deep learning machine vision system aids blind and visually impaired, Deep learning hits a sweet note, Machine learning platform speeds optimization of vision systems, Unlocking the power of AI for all developers, and Push-button generation of deep neural networks). Of course, one really interesting application is to perform object detection and identification, including the really tricky task of recognizing and identifying faces in images and videos. This sort of task benefits from the extreme parallelism offered by FPGAs. Of particular interest are Intel's current generation of FPGAs, whose hard-core DSP slices offer both fixed-point and floating-point capabilities, making them suitable for a wide range of artificial intelligence (AI) and embedded vision applications.
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Italian tenor Andrea Bocelli visits MIT in support of assistive technology and global poverty reduction
"Imagine a 6-year-old kid about to start school. The kid has only known his local village, the local fields," Italian tenor Andrea Bocelli said at MIT on Friday. "This is a place that kid would have imagined was close to the stars. That kid, of course, was me." Bocelli, who became blind after a childhood accident, visited MIT in support of the Andrea Bocelli Foundation's (ABF) funding of research on assistive technologies for the blind and for reducing global poverty.
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Professor Seth Teller dies at age 50
Seth Teller, a professor of computer science and engineering at MIT who was well known for his efforts to advance human-robot interactions, died yesterday. He was 50, and he had been a member of the MIT faculty since 1994. President L. Rafael Reif announced the news in an email to the MIT community. "I knew Seth as a person of great human warmth and intellectual intensity," Reif wrote in his letter. "He was a brilliant engineer and a gifted advisor with a passion for new challenges. His loss is difficult to grasp."
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Amazon, Google, Facebook, IBM, and Microsoft form AI non-profit ZDNet
Amazon, Google, Facebook, IBM, and Microsoft have announced they are forming a non-for-profit organisation to educate the public about artificial intelligence (AI) technologies, as well as alleviate anxieties around its application. The collective, which includes Google's AI subsidiary DeepMind, also plans to develop best practices on the challenges and opportunities within the field of AI. The organisation, called Partnership on Artificial Intelligence to Benefit People and Society (Partnership on AI), will address legal and ethical challenges that AI presents, encourage public discourse, and identify opportunities to use AI to bring improvements to society. The organisation does not intend to be a regulatory body, with a statement saying it does "not intend to lobby government or other policymaking bodies." Members of the Partnership on AI will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness, and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability, and robustness of the technology.
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Amazon, Google, Facebook, IBM, and Microsoft form AI non-profit ZDNet
Amazon, Google, Facebook, IBM, and Microsoft have announced they are forming a non-for-profit organisation to educate the public about artificial intelligence (AI) technologies, as well as alleviate anxieties around its application. The collective, which includes Google's AI subsidiary DeepMind, also plans to develop best practices on the challenges and opportunities within the field of AI. The organisation, called Partnership on Artificial Intelligence to Benefit People and Society (Partnership on AI), will address legal and ethical challenges that AI presents, encourage public discourse, and identify opportunities to use AI to bring improvements to society. The organisation does not intend to be a regulatory body, with a statement saying it does "not intend to lobby government or other policymaking bodies." Members of the Partnership on AI will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness, and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability, and robustness of the technology.
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